Engineering Digital Twin

Aims & Scope

While the benefits of digital twins (DTs) have been demonstrated in many contexts, their development, maintenance, and evolution, yield major challenges. This session at DigiTwin aims to bring together researchers and practitioners on the topic of software and systems engineering of DTs, from both academia and industry, to shape the future of systematically designing, developing, evolving, maintaining, and validating DTs.

Topics of interest include, but not limited to:

• software architecture for DTs
• composition and federation of DTs
• modeling and programming languages for DT development
• DT design methodology and process 
• model-based systems engineering for DT
• use of descriptive, predictive, and prescriptive models in DTs
• artificial intelligence for engineering DTs
• engineering DTs according to standards (e.g., ISO 23247, ISO 30173)
• quality assurance for and evaluation of DTs
• DT reliability, trust, and security
• deployment and operation of DTs
• migration from design-time DTs to runtime DTs
• uncertainty and fidelity management in DTs
• model hybridization and model/data combination in DTs
• evolution of DTs